7 Remote Entry-level Data Engineer Jobs (No Experience Required)
Explore flexible and work from home entry-level data engineer positions available worldwide. Your career in truly remote companies - apply today.
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3 days ago
Join Kyriba as an intern, assisting in data pipeline projects. Gain experience in an international SaaS environment.
3 days ago
Assist in prototyping AI projects for Kyriba's ML platform, gaining experience in machine learning.
November 21
Join Hart as a Data Engineering Intern to assist in healthcare data management and integration.
November 11
Data Engineering Intern at Radian working on software products.
October 20
Data Engineer Intern at Meetsta, developing mobile applications.
Remote Entry-level Data Engineer Salary Expectations
The average salary for remote entry-level data engineers is $99,750. This is based on data from 2 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level Data Engineer (0 yrs) | 2 | $99,750 |
🟢 Junior Data Engineer (1-2 yrs) | 51 | $93,896 |
🟡 Mid-level Data Engineer (2-4 yrs) | 356 | $125,361 |
🟠 Senior Data Engineer (5-9 yrs) | 498 | $152,689 |
🔴 Lead Data Engineer (10+ yrs) | 106 | $200,916 |
Frequently asked questions
You need strong programming skills, particularly in languages like Python, Java, or Scala. Familiarity with SQL, data modeling, ETL processes, and cloud services is also essential. Good analytical skills and familiarity with data visualization tools can be beneficial.
Typically, a degree in computer science, information technology, or a related field is required. Relevant internships, coursework, or projects showcasing your data engineering skills can also be advantageous. Certifications in big data technologies or cloud platforms can help.
Responsibilities include assisting in the design, construction, and maintenance of data pipelines, collaborating with data scientists and analysts to define data requirements, and ensuring data quality and integrity. You may also be involved in data cleaning and transformation tasks.
Benefits include flexible working hours, the opportunity to work from various locations, and gaining experience in a growing field. You'll also have the chance to collaborate with diverse teams and enhance your technical skills while enjoying a better work-life balance.
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Frequently asked questions
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